Flight Performance Prediction Based on BFA-GRNN Network

LIU Wenmeng; QIAN Chen; HUANG Dan

doi:10.3969/j.issn.1671-637x.2018.04.017

[2] LEE Y H, LIU B S. Inflight workload assessment: compa-rison of subjective and physiology measurements［J］. Aviation, Space and Environmental Medicine, 2003, 74(10): 1078-1084.

[4] WANG J. Development of helicopter pilot, s working performance scale［J］. Journal of Algorithms & Computational Technology, 2015, 9(2): 199-214.

[7] WU Q X, CHEN X, REN H, et al. A hybrid evaluation model for flight performance based on bacterial foraging and Elman network［J］. Aerospace Science & Technology, 2016, 55: 392-399.

[8] WILSON G F. An analysis of mental workload in pilots during flight using multiple psychological measures［J］. Journal of Aviation Psychology, 2002, 12(1): 3-18.

[9] PASSINO K M. Biomimicry of bacterial foraging for distributed optimization and control［C］//IEEE Control Systems, 2002, 22(3): 52-67.

[11] MISHRA S. Maiden application of bacterial foraging-based optimization technique in multiarea automatic ge-neration control［C］//IEEE Power and Energy Society General Meeting, 2012. doi: 10.1109/PESGM.2012.6344568.